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SUMMARY:  Outsourcing in location and route planning for small package shi
 ppers
DTSTART:20120423T103000
DTEND:20120423T120000
DTSTAMP:20260513T030859Z
UID:0c56745330ec22c1daac701ef5b89eddf61711d5b6d694b3426d3557
CATEGORIES:Conferences - Seminars
DESCRIPTION:Andreas Stenger\, IT-based Logistics\, Goethe University Frank
 furt.\nIn 2009\, Andreas Stenger obtained a degree in Business Administrat
 ion and Electrical Engineering from Technical University Kaiserslautern (G
 ermany). During his studies\, he spent one semester at TŽlŽcom ƒcole de
  Management (France) and gained practical experience in project management
  and production process optimization through his work at Airbus and Bosch 
 Rexroth. From October 2009 to February 2012\, he worked as research assist
 ant at  the Chair of IT-based Logistics at Goethe University Frankfurt (G
 ermany). In his research\, he focused on route and location planning probl
 ems for small package shippers and the design of efficient heuristic solut
 ion methods.\nDriven by increased competition and cost pressure\, small pa
 ckage shippers aim at improving the cost-efficiency of their transportatio
 n network. In this context\, one important trend is to subcontract last-mi
 le deliveries to small regional shippers. Although a huge amount of articl
 es on the optimization of vehicle routes and depot locations of small pack
 age shippers exists in the Operations Research literature\, subcontractors
  are rarely considered.\n\nIn this talk\, a new routing problem\, called M
 ulti-Depot Vehicle Routing Problem with Private Fleet and Common Carriers 
 (MDVRPPC)\, is presented\, where customers can either be served by the pri
 vate fleet positioned at self-owned depots or by subcontractors. To solve 
 the NP-hard problem\, an effective Variable Neighborhood Search algorithm 
 is presented that incorporates an adaptive mechanism to bias the random sh
 aking step towards profitable areas of the solution space. The approach is
  successfully used to solve MDVRPPC as well as closely related problems\, 
 such as the MDVRP and the single-depot VRP with Private fleet and Common c
 arriers (VRPPC)\, obtaining high quality solutions within short computing 
 time. The extensive testing on these problems shows the positive impact of
  the adaptive mechanism with respect to a standard VNS algorithm.
LOCATION:GC B3 424 http://plan.epfl.ch/?lang=en&room=gc+b3+424
STATUS:CANCELLED
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